package com.atguigu.day05;

import com.atguigu.beans.WaterSensor;
import com.atguigu.func.WaterSensorMapFunction;
import org.apache.commons.lang3.time.DateFormatUtils;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.windowing.WindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.TumblingProcessingTimeWindows;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

/**
 * @author Felix
 * @date 2024/4/3
 * 该案例演示开滚动处理时间窗口，并使用apply对窗口中的元素进行处理
 * 需求：取出最近10s中每个传感器采集的数据
 */
public class Flink06_window_apply {
    public static void main(String[] args) throws Exception {
        //TODO 1.指定流处理环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        //TODO 2.设置并行度
        env.setParallelism(1);
        //TODO 3.从指定的网络端口读取数据
        DataStreamSource<String> socketDS = env.socketTextStream("hadoop102", 8888);
        //TODO 4.对读取的数据进行类型转换   String->WaterSensor
        SingleOutputStreamOperator<WaterSensor> wsDS = socketDS.map(new WaterSensorMapFunction());
        //TODO 5.按照传感器id进行分组
        KeyedStream<WaterSensor, String> keyedDS = wsDS.keyBy(WaterSensor::getId);
        //TODO 6.开窗 滚动处理时间窗口  大小10s
        WindowedStream<WaterSensor, String, TimeWindow> windowDS
                = keyedDS.window(TumblingProcessingTimeWindows.of(Time.seconds(10)));
        //TODO 7.对窗口中的数据进行处理---apply
        SingleOutputStreamOperator<String> applyDS = windowDS.apply(
                new WindowFunction<WaterSensor, String, String, TimeWindow>() {
                    @Override
                    public void apply(String s, TimeWindow window, Iterable<WaterSensor> input, Collector<String> out) throws Exception {
                        //获取窗口中元素的个数
                        long count = input.spliterator().estimateSize();
                        String windowStart = DateFormatUtils.format(window.getStart(), "yyyy-MM-dd HH:mm:ss");
                        String windowEnd = DateFormatUtils.format(window.getEnd(), "yyyy-MM-dd HH:mm:ss");
                        out.collect("key=" + s + "的窗口[" + windowStart + "," + windowEnd + ")包含" + count + "条数据===>" + input.toString());
                    }
                }
        );
        //TODO 8.将聚合结果进行打印输出
        applyDS.print();
        //TODO 9.提交作业
        env.execute();
    }
}
